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Journal ArticleDOI

Automnatic Fault-Tree Generation: A Generic Approach for Fault Diagnosis Systems

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TLDR
An expert system approach to off-line generation and optimisation of fault-trees for use in on-line fault diagnosis systems, incorporating the knowledge and experience of manufacturers and users is presented.
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This article is published in IFAC Proceedings Volumes.The article was published on 1994-12-01. It has received 4 citations till now. The article focuses on the topics: Model-based reasoning & Expert system.

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Citations
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Journal ArticleDOI

Fault diagnosis of electronic systems using intelligent techniques: a review

TL;DR: This paper reviews this research, primarily covering rule-based, model- based, and case-based approaches and applications, which may lead to a greater acceptance of automated diagnosis.
Journal ArticleDOI

Handling Timing in a Time-Critical Reasoning System - A Case Study

Tonu Naks, +1 more
TL;DR: The focus of this paper is on the elicitation of timing requirements and constraints and on pre-run-time verification of system’s timing properties together with run-time monitoring and detection of potential timing violation.
Book ChapterDOI

Large-Scale Fault Diagnosis for On-Board Train Systems

TL;DR: A new approach is developed for fault diagnosis during different stages of development and operation of large train systems, incorporating case-based reasoning, conditional probabilities and indexing networks, rather than fault-trees, that is built automatically as the indexing structure of the case-base for on-line use.
Book ChapterDOI

Intelligent Systems Technology in the Fault Diagnosis of Electronic Systems

TL;DR: With greater system complexity, shorter product life-cycles, lower production costs, and changing technologies, the need for intelligent tools for the diagnosis of electronic systems is becoming increasingly important.
References
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Journal ArticleDOI

Case-based reasoning: foundational issues, methodological variations, and system approaches

TL;DR: An overview of the foundational issues related to case-based reasoning is given, some of the leading methodological approaches within the field are described, and the current state of the field is exemplified through pointers to some systems.
Journal ArticleDOI

Rete: a fast algorithm for the many pattern/many object pattern match problem

TL;DR: The Rete Match Algorithm is an efficient method for comparing a large collection of patterns to a largeCollection of objects that finds all the objects that match each pattern.
Book

Inside Case-Based Reasoning

TL;DR: CBR tends to be a good approach for rich, complex domains in which there are myriad ways to generalize a case, and is similar to the rule-induction algorithms of machine learning.
Proceedings ArticleDOI

Automated fault-tree generation for operational fault diagnosis

TL;DR: This paper describes an expert system approach to offline generation and optimization of a fault-tree for the online diagnosis of a modern train, incorporating the knowledge and experience of the train manufacturer and the train operators.